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NLP
2000
13 years 11 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman
EOR
2006
73views more  EOR 2006»
13 years 7 months ago
Path relinking and GRG for artificial neural networks
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
Abdellah El-Fallahi, Rafael Martí, Leon S. ...
CP
2010
Springer
13 years 5 months ago
Contingency Plans for Air Traffic Management
We present two heuristics based on constraint technology that solve the problem of generating air traffic management contingency plans, which are used in the case of a catastrophic...
Karl Sundequist Blomdahl, Pierre Flener, Justin Pe...
BMCBI
2007
143views more  BMCBI 2007»
13 years 7 months ago
An adaptive bin framework search method for a beta-sheet protein homopolymer model
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...
Alena Shmygelska, Holger H. Hoos
CAV
2004
Springer
130views Hardware» more  CAV 2004»
13 years 11 months ago
Global Model-Checking of Infinite-State Systems
Abstract. We extend the automata-theoretic framework for reasoning about infinitestate sequential systems to handle also the global model-checking problem. Our framework is based o...
Nir Piterman, Moshe Y. Vardi